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Current Trends in Bayesian Methodology with Applications
book

Current Trends in Bayesian Methodology with Applications

by Satyanshu K. Upadhyay, Umesh Singh, Dipak K. Dey, Appaia Loganathan
May 2015
Intermediate to advanced content levelIntermediate to advanced
680 pages
22h 33m
English
Chapman and Hall/CRC
Content preview from Current Trends in Bayesian Methodology with Applications
302 Current Trends in Bayesian Methodology with Applications
that variation across runs at the end of the first pass is larger than numerical
standard error suggests (E (θ
1
x | Data) fo r runs A a nd B).
These suggestions could be investigated more critically with scores or hun-
dreds of runs of the SPS algorithm, but we conjecture the returns would be
low and in any event there is no basis for extrapolating results across models
and datasets. Most important, one cannot resort to this tac tic routinely in ap-
plied work. The results here support the earlier recommendation (at the end
of subsec tion 14.2.4) that the investigator proceed mainly using
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Publisher Resources

ISBN: 9781482235128